Session Details
Enhance your data-driven decision-making with Customer Journey Analytics. Learn how to use data science techniques in Python to gain practical skills in analyzing and visualizing customer data. The lab exercises focus on optimizing customer journeys, identifying segments, and uncovering actionable insights.
In this lab:
- Use APIs and the CJA Postgres SQL connector to coordinate tasks and integrate them with visualization libraries
- Discover tricks for efficiently getting data in and out of Adobe Experience Platform for streamlining the data management process
- Build propensity or cluster models using bulk CJA exports, and analyze results by feeding them back into CJA
Session Schedule
Wednesday, Mar 2 | 71:30 PM - 3:00 PM PDT
Speaker(s)
Trevor Paulsen, Director, Product Management, Adobe
Brian Au, Principal Business Consultant, Adobe
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